Cost-Effective and Robust Service Provisioning in Multi-Access Edge Computing
Zhengzhe Xiang, Yuhang Zheng, Dongjing Wang, Javid Taheri, Zengwei Zheng, Minyi Guo · IEEE Transactions on Parallel and Distributed Systems · 2024
With the development of multiaccess edge computing (MEC) technology, an increasing number of researchers and developers are deploying their computation-intensive and IO-intensive services (especially AI services) on edge devices. These devices, being close to end users, provide better performance in mobile environments. By constructing a service provisioning system at the network edge, latency is significantly reduced due to short-distance communication with edge servers. However, since the MEC-based service provisioning system is resource-sensitive and the network may be unstable, careful resource allocation and traffic scheduling strategies are essential. This paper investigates and quantifies the cost-effectiveness and robustness of the MEC-based service provisioning system with the applied resource allocation and traffic scheduling strategies. Based on this analysis, acost-effective androbust service provisioningalgorithm, termedCERA, is proposed to minimize deployment costs while maintaining system robustness. Extensive experiments are conducted to compare the proposed approach with well-known baseline algorithms and evaluate factors impacting the results. The findings demonstrate thatCERAachieves at least 15.9% better performance than other baseline algorithms across various instances.